Erika Moore

30 papers receiving 778 citations

Erika Moore's Hit Papers

Engineering the multiscale complexity of vascular networks 2022 · 157 citations
1570+1+2Years since publication50100150

Peers

Erika Moore
Comparison fields: 5 of 109
  • Parasitology 128
  • Biomaterials 144
  • Genetics 80
  • Biomedical Engineering 306
  • Small Animals 44
Replace Tobias May with:
Tobias May Germany
Wei Yong Gu United States
Tiziana Orsini Italy
Yoji Tabata Switzerland
Grayson DuRaine United States
Kyle T. Cunningham United Kingdom
Won‐Jae Lee South Korea
Henri van der Heyde United States
Nagako Sougawa Japan
William C. Satterfield United States
Erika Moore relative to Tobias May Germany Tobias May's profile →
Citations per field
00.5×6.7×
Tobias May · 1×
Citations per year

Countries citing papers authored by Erika Moore

Since Specialization
Citations

This map shows the geographic impact of Erika Moore's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Erika Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erika Moore more than expected).

Fields of papers citing papers by Erika Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erika Moore. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Erika Moore. The network helps show where Erika Moore may publish in the future.

Co-authors

The 25 scholars most cited alongside Erika Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erika Moore Line = papers co-authored together Erika Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Engineering the multiscale complexity of vascular networks
Hit paper breakdown →
2022157
2 2013148
3 201352
4 202148
5 201848
6 201836
7 202133
8 201730
9 201228
10 201827
11 202026
12 201426
13 202119
14 202118
15 202115
16 202114
17 201311
18 201510
19 20239
20 20239

About Erika Moore

Erika Moore is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Biomaterials, having authored 37 papers that have together received 795 indexed citations. Recurring topics across this work include Immune cells in cancer (10 papers), Tissue Engineering and Regenerative Medicine (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Mesenchymal stem cell research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Cell Adhesion Molecules Research (3 papers), Periodontal Regeneration and Treatments (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Parasitology (128 citations), Biomaterials (144 citations), Genetics (80 citations), Biomedical Engineering (306 citations) and Small Animals (44 citations). Erika Moore has collaborated with scholars based in United States, Russia and Thailand. Frequent co-authors include Jennifer L. West, Kelly R. Stevens, Ying Zheng, Daniel Greaves, Sani H. Aliyu, Daphne L. Hutton, Warren L. Grayson, Josephine B. Allen, Christopher Ludtka and Jeffrey M. Gimble. Their work appears in journals such as ACS Biomaterials Science & Engineering, Journal of Proteome Research, Nature Reviews Materials, Tissue Engineering Part A and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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